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Data Center AI Now On A Desk

A desktop AI system delivers one petaflop of performance, allowing developers to run very large models and fine-tune them locally without depending on the cloud.

Netweb Launches ‘Make in India’ AI Supercomputing Systems Powered by NVIDIA
Sovereign AI Development
Netweb Launches ‘Make in India’ AI Supercomputing Systems Powered by NVIDIA Sovereign AI Development

Netweb Technologies India Ltd has introduced a new AI supercomputing system. The company launched the Tyrone Camarero GB200 System, a high-performance AI supercomputer, along with Tyrone Camarero Spark, a compact personal AI supercomputer.

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Tyrone Camarero Spark is designed as a small desktop system but delivers powerful AI performance. It runs on NVIDIA’s full AI stack, including Blackwell GPUs, Grace CPUs, NVIDIA Networking, CUDA-X libraries, and AI software tools.

The system delivers one petaflop of AI performance and comes with 128GB unified memory. It allows developers to run AI models with up to 200 billion parameters for inference and fine-tune models up to 70 billion parameters locally.

Tyrone Camarero Spark gives AI developers access to preinstalled NVIDIA Nemotron models, supporting libraries, and NVIDIA NIM microservices with ready workflows. These tools help developers build vision search and summarization agents, improve image generation, create AI chatbots, and more.

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With this launch, the company aims to support millions of AI developers in India by enabling on-premises AI development, including building AI agents and running advanced AI software stacks.

“The Tyrone Camarero Spark based on NVIDIA DGX Spark and powered by the NVIDIA GB10 Grace Blackwell Superchip, manufactured in India by Netweb and ready to serve the AI developer market of the world, is a proud moment for the ‘Make in India’ mission. The Tyrone Camarero Spark provides AI developers t 1 Peta Flops of (FP4) performance out of the box in the tiniest form factor of 5.9 in x 5.9 in x 2in inches and with system power supply of just 240 Watts —whereas in 2016 a comparable performance of 170 Tera Flops (FP16) with same memory size of 128GB could be delivered with System Power requirement of 3200 Watts. This milestone revolutionizes AI compute in India by introducing new ways to conduct AI research and development. With this move we have created a whole new customer segment in collaboration with NVIDIA.” said Sanjay Lodha, Managing Director & CEO of Netweb Technologies India Ltd.

Nidhi Agarwal
Nidhi Agarwal
Nidhi Agarwal is a Senior Technology Journalist at Electronics For You, specialising in embedded systems, development boards, and IoT cloud solutions. With a Master’s degree in Signal Processing, she combines strong technical knowledge with hands-on industry experience to deliver clear, insightful, and application-focused content. Nidhi began her career in engineering roles, working as a Product Engineer at Makerdemy, where she gained practical exposure to IoT systems, development platforms, and real-world implementation challenges. She has also worked as an IoT intern and robotics developer, building a solid foundation in hardware-software integration and emerging technologies. Before transitioning fully into technology journalism, she spent several years in academia as an Assistant Professor and Lecturer, teaching electronics and related subjects. This background reflects in her writing, which is structured, easy to understand, and highly educational for both students and professionals. At Electronics For You, Nidhi covers a wide range of topics including embedded development, cloud-connected devices, and next-generation electronics platforms. Her work focuses on simplifying complex technologies while maintaining technical accuracy, helping engineers, developers, and learners stay updated in a rapidly evolving ecosystem.

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